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IBM Cloud App Configuration Python SDK

Project description

IBM Cloud App Configuration Python server SDK

IBM Cloud App Configuration SDK is used to perform feature flag and property evaluation based on the configuration on IBM Cloud App Configuration service.

Table of Contents

Overview

IBM Cloud App Configuration is a centralized feature management and configuration service on IBM Cloud for use with web and mobile applications, microservices, and distributed environments.

Instrument your applications with App Configuration Python SDK, and use the App Configuration dashboard, CLI or API to define feature flags or properties, organized into collections and targeted to segments. Toggle feature flag states in the cloud to activate or deactivate features in your application or environment, when required. You can also manage the properties for distributed applications centrally.

Installation

To install, use pip or easy_install:

pip install --upgrade ibm-appconfiguration-python-sdk

or

 easy_install --upgrade ibm-appconfiguration-python-sdk

Import the SDK

from ibm_appconfiguration import AppConfiguration, Feature, Property, ConfigurationType

Initialize SDK

appconfig_client = AppConfiguration.get_instance()
appconfig_client.init(region='region', guid='guid', apikey='apikey')
appconfig_client.set_context(collection_id='airlines-webapp', environment_id='dev')

:red_circle: Important :red_circle:

The init() and set_context() are the initialisation methods and should be invoked only once using appconfig_client. The appconfig_client, once initialised, can be obtained across modules using AppConfiguration.get_instance(). See this example below.

  • region : Region name where the App Configuration service instance is created. Use
    • AppConfiguration.REGION_US_SOUTH for Dallas
    • AppConfiguration.REGION_EU_GB for London
    • AppConfiguration.REGION_AU_SYD for Sydney
    • AppConfiguration.REGION_US_EAST for Washington DC
  • guid : GUID of the App Configuration service. Obtain it from the service credentials section of the dashboard
  • apikey : ApiKey of the App Configuration service. Obtain it from the service credentials section of the dashboard
  • collection_id : Id of the collection created in App Configuration service instance under the Collections section.
  • environment_id : Id of the environment created in App Configuration service instance under the Environments section.

Connect using private network connection (optional)

Set the SDK to connect to App Configuration service by using a private endpoint that is accessible only through the IBM Cloud private network.

appconfig_client.use_private_endpoint(True);

This must be done before calling the init function on the SDK.

(Optional)

In order for your application and SDK to continue its operations even during the unlikely scenario of App Configuration service across your application restarts, you can configure the SDK to work using a persistent cache. The SDK uses the persistent cache to store the App Configuration data that will be available across your application restarts.

# 1. default (without persistent cache)
appconfig_client.set_context(collection_id='airlines-webapp', environment_id='dev')

# 2. optional (with persistent cache)
appconfig_client.set_context(collection_id='airlines-webapp', environment_id='dev', options={
  'persistent_cache_dir': '/var/lib/docker/volumes/'
})
  • persistent_cache_dir: Absolute path to a directory which has read & write permission for the user. The SDK will create a file - appconfiguration.json in the specified directory, and it will be used as the persistent cache to store the App Configuration service information.

When persistent cache is enabled, the SDK will keep the last known good configuration at the persistent cache. In the case of App Configuration server being unreachable, the latest configurations at the persistent cache is loaded to the application to continue working.

Please ensure that the cache file created in the given directory is not lost or deleted in any case. For example, consider the case when a kubernetes pod is restarted and the cache file (appconfiguration.json) was stored in ephemeral volume of the pod. As pod gets restarted, kubernetes destroys the ephermal volume in the pod, as a result the cache file gets deleted. So, make sure that the cache file created by the SDK is always stored in persistent volume by providing the correct absolute path of the persistent directory.

(Optional)

The SDK is also designed to serve configurations, perform feature flag & property evaluations without being connected to App Configuration service.

appconfig_client.set_context(collection_id='airlines-webapp', environment_id='dev', options={
  'bootstrap_file': 'saflights/flights.json',
  'live_config_update_enabled': False
})
  • bootstrap_file: Absolute path of the JSON file which contains configuration details. Make sure to provide a proper JSON file. You can generate this file using ibmcloud ac config command of the IBM Cloud App Configuration CLI.
  • live_config_update_enabled: Live configuration update from the server. Set this value to False if the new configuration values shouldn't be fetched from the server. By default, this parameter (live_config_update_enabled) is set to True.

Get single feature

feature = appconfig_client.get_feature('online-check-in')  # feature can be None incase of an invalid feature id

if feature is not None:
    print(f'Feature Name : {0}'.format(feature.get_feature_name()))
    print(f'Feature Id : {0}'.format(feature.get_feature_id()))
    print(f'Feature Data Type : {0}'.format(feature.get_feature_data_type()))
    if feature.is_enabled():
        # feature flag is enabled
    else:
        # feature flag is disabled

Get all features

features_dictionary = appconfig_client.get_features()

Evaluate a feature

Use the feature.get_current_value(entity_id=entity_id, entity_attributes=entity_attributes) method to evaluate the value of the feature flag. This method returns one of the Enabled/Disabled/Overridden value based on the evaluation. The data type of returned value matches that of feature flag.

```py
entity_id = "john_doe"
entity_attributes = {
  'city': 'Bangalore',
  'country': 'India'
}
feature_value = feature.get_current_value(entity_id=entity_id, entity_attributes=entity_attributes)
```
  • entity_id: Id of the Entity. This will be a string identifier related to the Entity against which the feature is evaluated. For example, an entity might be an instance of an app that runs on a mobile device, a microservice that runs on the cloud, or a component of infrastructure that runs that microservice. For any entity to interact with App Configuration, it must provide a unique entity ID.
  • entity_attributes: A dictionary consisting of the attribute name and their values that defines the specified entity. This is an optional parameter if the feature flag is not configured with any targeting definition. If the targeting is configured, then entity_attributes should be provided for the rule evaluation. An attribute is a parameter that is used to define a segment. The SDK uses the attribute values to determine if the specified entity satisfies the targeting rules, and returns the appropriate feature flag value.

Get single Property

property = appconfig_client.get_property('check-in-charges')  # property can be None incase of an invalid property id
if property is not None:
    print(f'Property Name : {0}'.format(property.get_property_name()))
    print(f'Property Id : {0}'.format(property.get_property_id()))
    print(f'Property Data Type : {0}'.format(property.get_property_data_type()))

Get all Properties

properties_dictionary = appconfig_client.get_properties()

Evaluate a property

Use the property.get_current_value(entity_id=entity_id, entity_attributes=entity_attributes) method to evaluate the value of the property. This method returns the default property value or its overridden value based on the evaluation. The data type of returned value matches that of property.

```py
entity_id = "john_doe"
entity_attributes = {
'city': 'Bangalore',
'country': 'India'
}
property_value = property.get_current_value(entity_id=entity_id, entity_attributes=entity_attributes)
```
  • entity_id: Id of the Entity. This will be a string identifier related to the Entity against which the property is evaluated. For example, an entity might be an instance of an app that runs on a mobile device, a microservice that runs on the cloud, or a component of infrastructure that runs that microservice. For any entity to interact with App Configuration, it must provide a unique entity ID.
  • entity_attributes: A dictionary consisting of the attribute name and their values that defines the specified entity. This is an optional parameter if the property is not configured with any targeting definition. If the targeting is configured, then entity_attributes should be provided for the rule evaluation. An attribute is a parameter that is used to define a segment. The SDK uses the attribute values to determine if the specified entity satisfies the targeting rules, and returns the appropriate property value.

Fetching the appconfig_client across other modules

Once the SDK is initialized, the appconfig_client can be obtained across other modules as shown below:

# **other modules**

from ibm_appconfiguration import AppConfiguration

appconfig_client = AppConfiguration.get_instance()
feature = appconfig_client.get_feature('online-check-in')
enabled = feature.is_enabled()
feature_value = feature.get_current_value(entity_id, entity_attributes)

Supported Data types

App Configuration service allows to configure the feature flag and properties in the following data types : Boolean, Numeric, String. The String data type can be of the format of a TEXT string , JSON or YAML. The SDK processes each format accordingly as shown in the below table.

View Table
Feature or Property value DataType DataFormat Type of data returned
by GetCurrentValue()
Example output
true BOOLEAN not applicable bool true
25 NUMERIC not applicable int 25
"a string text" STRING TEXT string a string text
{
"firefox": {
"name": "Firefox",
"pref_url": "about:config"
}
}
STRING JSON Dictionary or List of Dictionary {'firefox': {'name': 'Firefox', 'pref_url': 'about:config'}}
men:
- John Smith
- Bill Jones
women:
- Mary Smith
- Susan Williams
STRING YAML Dictionary {'men': ['John Smith', 'Bill Jones'], 'women': ['Mary Smith', 'Susan Williams']}
Feature flag
feature = appconfig_client.get_feature('json-feature')
feature.get_feature_data_type() // STRING
feature.get_feature_data_format() // JSON
feature.get_current_value(entityId, entityAttributes) // returns single dictionary object or list of dictionary object

// Example Below
// input json :- [{"role": "developer", "description": "do coding"},{"role": "tester", "description": "do testing"}]
// expected output :- "do coding"

tar_val = feature.get_current_value(entityId, entityAttributes)
expected_output = tar_val[0]['description']

// input json :- {"role": "tester", "description": "do testing"}
// expected output :- "tester"

tar_val = feature.get_current_value(entityId, entityAttributes)
expected_output = tar_val['role']

feature = appconfig_client.getFeature('yaml-feature')
feature.get_feature_data_type() // STRING
feature.get_feature_data_format() // YAML
feature.get_current_value(entityId, entityAttributes) // returns dictionary object

// Example Below
// input yaml string :- "---\nrole: tester\ndescription: do_testing"
// expected output :- "do_testing"

tar_val = feature.get_current_value(entityId, entityAttributes)
expected_output = tar_val['description']
Property
property = appconfig_client.get_property('json-property')
property.get_property_data_type() // STRING
property.get_property_data_format() // JSON
property.get_current_value(entityId, entityAttributes) // returns single dictionary object or list of dictionary object

// Example Below
// input json :- [{"role": "developer", "description": "do coding"},{"role": "tester", "description": "do testing"}]
// expected output :- "do coding"

tar_val = property.get_current_value(entityId, entityAttributes)
expected_output = tar_val[0]['description']

// input json :- {"role": "tester", "description": "do testing"}
// expected output :- "tester"

tar_val = property.get_current_value(entityId, entityAttributes)
expected_output = tar_val['role']

property = appconfig_client.get_property('yaml-property')
property.get_property_data_type() // STRING
property.get_property_data_format() // YAML
property.get_current_value(entityId, entityAttributes) // returns dictionary object 

// Example Below
// input yaml string :- "---\nrole: tester\ndescription: do_testing"
// expected output :- "do_testing"

tar_val = property.get_current_value(entityId, entityAttributes)
expected_output = tar_val['description']

Set listener for the feature and property data changes

The SDK provides mechanism to notify you in real-time when feature flag's or property's configuration changes. You can subscribe to configuration changes using the same appconfig_client.

def configuration_update(self):
    print('Received updates on configurations')
    # **add your code**
    # To find the effect of any configuration changes, you can call the feature or property related methods

    # feature = appconfig_client.getFeature('online-check-in')
    # new_value = feature.get_current_value(entity_id, entity_attributes)

appconfig_client.register_configuration_update_listener(configuration_update)

Fetch latest data

Fetch the latest configuration data.

appconfig_client.fetch_configurations()

Enable debugger (Optional)

Use this method to enable/disable the logging in SDK.

appconfig_client.enable_debug(True)

Examples

The examples folder has the examples.

License

This project is released under the Apache 2.0 license. The license's full text can be found in LICENSE

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